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DBMS > Brytlyt vs. Citus vs. Tarantool

System Properties Comparison Brytlyt vs. Citus vs. Tarantool

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonCitus  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLIn-memory database with an integrated application server
Primary database modelRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument storeDocument store
Relational DBMS
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#253  Overall
#119  Relational DBMS
Score1.48
Rank#139  Overall
#68  Relational DBMS
Score1.56
Rank#137  Overall
#26  Key-value stores
Websitewww.brytlyt.comwww.citusdata.comwww.tarantool.io
Technical documentationdocs.citusdata.comwww.tarantool.io/­en/­doc
DeveloperBrytlytMail.ru Group
Initial release201620102008
Current release0.9, October 20168.1, December 20182.4.2, July 2020
License infoCommercial or Open SourcecommercialOpen Source infoAGPL, commercial license also availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDACC and C++
Server operating systemsLinux
OS X
Windows
LinuxBSD
Linux
macOS
Data schemeyesyesschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyesstring, double, decimal, uuid, integer, blob, boolean
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yes infospecific XML-type available, but no XML query functionality.yes infospecific XML type available, but no XML query functionalityno
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyes infostandard, with numerous extensionsFull-featured ANSI SQL support
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Open binary protocol
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Lua, C and SQL stored procedures
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingHash sharding based on virtual buckets
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes, with SQL
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID, read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyes, regular snapshots on disk, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
BrytlytCitusTarantool
Recent citations in the news

GPU Database Market 2021 Production Share, Growth Rate Analysis by – Neo4j, Brytlyt, Blazegraph, HeteroDB, Graphistry, etc – Puck77
21 October 2021, Puck77

GPU Database Market 2025: Strong Sales Outlook Ahead | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox – Puck77
22 October 2021, Puck77

“Global GPU Database Market SWOT Analysis 2021 by Top Manufacturers: Kinetica , Omnisci , Sqream , Neo4j , Nvidia , Brytlyt , Jedox , Blazegraph , Blazingdb , Zilliz , Heterodb , H2o.Ai , Fastdata.Io , Fuzzy Logix , Graphistry , Anaconda , etc….” – Puck77
21 October 2021, Puck77

GPU Database Market SWOT Analysis, Key Indicators, Forecast 2027 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox. – Puck77
21 October 2021, Puck77

Brytlyt Awarded US Patent for Relational JOINs Algorithm
27 August 2021, PRNewswire

provided by Google News

Testing times: Microsoft gets PostgreSQL on Azure a day after GA
4 October 2021, The Register

PostgreSQL 14 Is Here - A Look At Its Past And Future
1 October 2021, iProgrammer

How to Use Citus to Shard Postgres, for Performance & Scale - Microsoft
16 September 2021, Channel 9

Microsoft acquires Citus Data for its open source PostgreSQL tool
24 January 2019, VentureBeat

Microsoft Expands Azure PostgreSQL Moxy Through Citus Data Purchase
30 January 2019, Data Center Knowledge

provided by Google News

Tarantool: A Lua-based database engine and in-memory data grid
13 April 2016, opensource.com

provided by Google News

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